Monthly Archives

June 2018

VARIABILITY, STANDARDIZATION AND SAMPLING DISTRIBUTIONS NOTES IMG
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Variability, Standardization and Sampling Distributions Notes

If you’re looking for variability, standardization and sampling distributions chapter notes, then you’re definitely in the right place. These notes are not only for my fellow Bertelsmann Udacity Data Science Scholarship students that maybe are just beginning or simply they want to go through the material once more but for any of you that expressed an interested in this subject. Variability Variability measures how much your scores differ from each other. In other words refers to how spread out a group of data is. Measures of Variability: Range Range is the simplest measure of variability. You take the smallest number and subtract…

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Bertelsmann Udacity Data Science Scholarship Notes lesson 1-3
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Bertelsmann Udacity Data Science Scholarship Notes

Being a student or working full time, learning is not always the most enjoyable or easy thing to do. So what could be the solution to have a more effective way of learning? There are many solutions that are debatable but I will offer the simplest and most used one that actually worked for me extremely well: Learn by writing! Read, write, read, write. Read all the stuff once and write down the main ideas. “When you write down your ideas you automatically focus your full attention on them. Few if any of us can write one thought and think…

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data science scholarship
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First month of Bertelsmann Udacity Data Science Scholarship

Bertelsmann Udacity Data Science Scholarship Summarily   What is Data Science? Data Science is an interdisciplinary field that brings together tools, processes, and systems to extract insights from data. It involves concepts from a variety of fields, ranging from mathematics/statistics to computer science and programming to machine learning, through to visualization and presentation. At its core, Data Science involves using automated methods to analyze massive amounts of data and to extract knowledge from them. Who needs Data Science capabilities? Data is everywhere. The amount of data we create is going to increase exponentially in the years ahead. The ability to…

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